Nigel Bosch
Impact in
- Computer Science Applications top 0.5%
- Online Learning and Analytics
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- Innovative Teaching and Learning Methods
- Educational Games and Gamification
Papers in
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- Intelligent Tutoring Systems and Adaptive Learning 28
- Explainable Artificial Intelligence (XAI) 7
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- Online Learning and Analytics 38
- Co-authors
- Sidney K. D’Mello (31 shared papers)Caitlin Mills (11 shared papers)Ryan S. Baker (20 shared papers)Jaclyn Ocumpaugh (19 shared papers)Hamed Monkaresi (1 shared paper)Rafael A. Calvo (1 shared paper)Valerie J. Shute (6 shared papers)Matthew Ventura (4 shared papers)
- Journals
- Computers & Education (4 papers)IEEE Transactions on Affective Computing (2 papers)Journal of Learning Analytics (2 papers)Drug and Alcohol Dependence (2 papers)International Journal of Artificial Intelligence in Education (2 papers)
- Partner nations
- United StatesBulgariaCanada
In The Last Decade
Nigel Bosch
95 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 105
- Computer Science Applications 724
- Developmental and Educational Psychology 527
- Experimental and Cognitive Psychology 533
- Human-Computer Interaction 245
- Cognitive Neuroscience 525
Countries citing papers authored by Nigel Bosch
This map shows the geographic impact of Nigel Bosch's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nigel Bosch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nigel Bosch more than expected).
Fields of papers citing papers by Nigel Bosch
This network shows the impact of papers produced by Nigel Bosch. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nigel Bosch. The network helps show where Nigel Bosch may publish in the future.
Co-authors
The 25 scholars most cited alongside Nigel Bosch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 254 | |
| 2 | 2014 | 152 | |
| 3 | 2015 | 124 | |
| 4 | 2015 | 103 | |
| 5 | 2021 | 99 | |
| 6 | 2016 | 98 | |
| 7 | 2018 | 89 | |
| 8 | 2015 | 88 | |
| 9 | 2019 | 82 | |
| 10 | 2013 | 66 | |
| 11 | 2017 | 59 | |
| 12 | 2018 | 56 | |
| 13 | 2014 | 53 | |
| 14 | 2019 | 53 | |
| 15 | Detecting student emotions in computer-enabled classrooms | 2016 | 47 |
| 16 | 2020 | 43 | |
| 17 | 2016 | 41 | |
| 18 | 2021 | 38 | |
| 19 | Student Emotion, Co-Occurrence, and Dropout in a MOOC Context. | 2016 | 38 |
| 20 | 2014 | 32 |
About Nigel Bosch
Nigel Bosch is a scholar working on Artificial Intelligence, Computer Science Applications, Developmental and Educational Psychology, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 99 papers that have together received 2.3k indexed citations. Recurring topics across this work include Online Learning and Analytics (38 papers), Innovative Teaching and Learning Methods (29 papers), Intelligent Tutoring Systems and Adaptive Learning (28 papers), Mind wandering and attention (18 papers), EEG and Brain-Computer Interfaces (12 papers), Emotion and Mood Recognition (10 papers), Online and Blended Learning (8 papers) and Explainable Artificial Intelligence (XAI) (7 papers). The work is most often cited by research in Computer Science Applications (724 citations), Developmental and Educational Psychology (527 citations), Experimental and Cognitive Psychology (533 citations), Human-Computer Interaction (245 citations) and Cognitive Neuroscience (525 citations). Nigel Bosch has collaborated with scholars based in United States, Bulgaria and Canada. Frequent co-authors include Sidney K. D’Mello, Caitlin Mills, Ryan S. Baker, Jaclyn Ocumpaugh, Hamed Monkaresi, Rafael A. Calvo, Valerie J. Shute, Matthew Ventura, Catharine E. Fairbairn and Collin McMillan. Their work appears in journals such as Computers & Education, IEEE Transactions on Affective Computing, Journal of Learning Analytics, Drug and Alcohol Dependence and International Journal of Artificial Intelligence in Education.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.